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Larva of the greater wax moth, Galleria mellonella, is a suitable alternative host for studying virulence of fish pathogenic Vibrio anguillarum

Overview of attention for article published in BMC Microbiology, June 2015
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  • Good Attention Score compared to outputs of the same age (70th percentile)

Mentioned by

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7 tweeters

Citations

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14 Dimensions

Readers on

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59 Mendeley
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Title
Larva of the greater wax moth, Galleria mellonella, is a suitable alternative host for studying virulence of fish pathogenic Vibrio anguillarum
Published in
BMC Microbiology, June 2015
DOI 10.1186/s12866-015-0466-9
Pubmed ID
Authors

Stuart McMillan, David Verner-Jeffreys, Jason Weeks, Brian Austin, Andrew P. Desbois

Abstract

Microbial diseases cause considerable economic losses in aquaculture and new infection control measures often rely on a better understanding of pathogenicity. However, disease studies performed in fish hosts often require specialist infrastructure (e.g., aquaria), adherence to strict legislation and do not permit high-throughput approaches; these reasons justify the development of alternative hosts. This study aimed to validate the use of larvae of the greater wax moth (Galleria mellonella) to investigate virulence of the important fish pathogen, Vibrio anguillarum. Using 11 wild-type isolates of V. anguillarum, these bacteria killed larvae in a dose-dependent manner and replicated inside the haemolymph, but infected larvae were rescued by antibiotic therapy. Crucially, virulence correlated significantly and positively in larva and Atlantic salmon (Salmo salar) infection models. Challenge studies with mutants knocked out for single virulence determinants confirmed conserved roles in larva and fish infections in some cases (pJM1 plasmid, rtxA), but not all (empA, flaA, flaE). The G. mellonella model is simple, more ethically acceptable than experiments on vertebrates and, crucially, does not necessitate liquid systems, which reduces infrastructure requirements and biohazard risks associated with contaminated water. The G. mellonella model may aid our understanding of microbial pathogens in aquaculture and lead to the timely introduction of new effective remedies for infectious diseases, while adhering to the principles of replacement, reduction and refinement (3Rs) and considerably reducing the number of vertebrates used in such studies.

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 2%
United Kingdom 1 2%
Denmark 1 2%
Germany 1 2%
Unknown 55 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 20%
Student > Ph. D. Student 12 20%
Student > Bachelor 6 10%
Professor 4 7%
Student > Postgraduate 3 5%
Other 10 17%
Unknown 12 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 32%
Biochemistry, Genetics and Molecular Biology 11 19%
Environmental Science 4 7%
Immunology and Microbiology 3 5%
Medicine and Dentistry 2 3%
Other 7 12%
Unknown 13 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 October 2020.
All research outputs
#5,485,292
of 18,552,435 outputs
Outputs from BMC Microbiology
#625
of 2,779 outputs
Outputs of similar age
#68,946
of 239,932 outputs
Outputs of similar age from BMC Microbiology
#1
of 1 outputs
Altmetric has tracked 18,552,435 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 2,779 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 77% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 239,932 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them